Two Improved Multiobjective Fractional-Order Particle Swarm Optimization Algorithms for True Temperature Inversion of Multiwavelength Pyrometer

In this article, two improved fractional-order particle swarm optimization (IFOPSO) algorithms for the true temperature inversion of high-temperature targets with unknown emissivity are presented by transforming multispectral true temperature inversion into multiobjective minimum optimization. Combi...

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Bibliographic Details
Published in:IEEE sensors journal Vol. 24; no. 13; pp. 21191 - 21199
Main Authors: Liang, Mei, Sun, Zhuo, Wang, Changhui
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Emissivity
Extreme values
Fractional-order particle swarm
High temperature
Inertia
Linear programming
Multiple objective analysis
multispectral radiation temperature measurement
Optimization
Particle measurements
Particle swarm optimization
pyrometer
Temperature distribution
Temperature measurement
true temperature inversion
Wavelength measurement
ISSN:1530-437X, 1558-1748
Online Access:Get full text
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Summary:In this article, two improved fractional-order particle swarm optimization (IFOPSO) algorithms for the true temperature inversion of high-temperature targets with unknown emissivity are presented by transforming multispectral true temperature inversion into multiobjective minimum optimization. Combining the smoothing of exponential inertia weights and the advantages of adaptive adjustment according to the actual situation, as well as the advantages of fractional-order jumping out of local extreme values, the exponentially decreasing inertia weight (Ediw) IFOPSO algorithm is proposed. Meanwhile, the linear varying inertia weights (Lviws) IFOPSO, which combines time-varying acceleration coefficient and linear inertia weight, is designed to improve the multiobjective optimization ability and the accuracy of real temperature inversion. The typical emissivity model and the measured data of rocket tail flame are used for simulation, and the effectiveness of the proposed method is verified.
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2024.3403095